Data Engineer

About the role

As a Data Engineer you will be central to building and optimising our cloud data platform, enabling data‑driven decisions across the business. You will collaborate with both business and technology stakeholders to deliver scalable pipelines and high‑performing data solutions.

Key responsibilities

• Build and maintain robust, end‑to‑end data pipelines.
• Develop, test and deploy high‑quality code.
• Design and optimise data models and ETL solutions.
• Support data architecture, governance and quality initiatives.
• Integrate data across multiple production systems.
• Partner with BI teams to optimise data for reporting and insights.
• Monitor data quality and implement solutions to detect issues.

Required profile

• Proven experience building data pipelines and ETL solutions.
• Strong Python development skills.
• Experience with cloud data platforms such as AWS or GCP.
• Knowledge of data modelling and data warehousing concepts.
• Exposure to CI/CD pipelines and automated deployments.
• Understanding of data lifecycle, governance and quality.
• Effective stakeholder engagement and communication abilities.
• Desirable experience with Databricks.
• Background working in Agile environments using Jira and Confluence.

Required skills

• Python
• AWS
• GCP
• Databricks
• CI/CD pipelines
• ETL development
• Data modelling
• Data warehousing
• Jira
• Confluence

What we offer

• Vibrant social community with events and celebrations.
• Flexible work – one day WFH or a 9‑day fortnight (hybrid).
• ‘ME’ leave and ‘Volunteer Day’ leave.
• Option to purchase additional leave.
• Return‑to‑Work bonus for parents.
• Quarterly award and recognition program.